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SAR图像机动目标检测的两种CFAR算法对比研究 被引量:13

Comparison on Two CFAR Algorithms of Vehicle Target Detection in SAR Images
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摘要 分析和对比了SAR图像机动目标检测的两种实用算法:全局CFAR算法和局部双参数CFAR算法。首先分析了CFAR检测算法的基本理论,然后给出了两种CFAR算法的具体形式,在此基础上,对比了这两种CFAR算法的时间复杂度,总结了各自特点和流程。利用实测数据分别进行实验,进一步分析了各自的优缺点。 Two practical vehicle target detection algorithms (the Global CFAR algorithm and the local two-parameter CFAR algorithm) are analyzed and compared in this paper. On the basis of analyzing the basic theory of CFAR algorithm and the concrete expressions of two algorithms, the computational complexity of two algorithms are compared, meanwhile, the characteristics and flows of there two algorithms are also summarized. Finally,the advantage and disadvantage of two algorithms are analyzed by the results of experiments utilizing real data.
出处 《信号处理》 CSCD 北大核心 2008年第1期78-82,共5页 Journal of Signal Processing
基金 “十五国防预研项目”
关键词 合成孔径雷达 机动目标 检测 恒虚警率 Synthetic Aperture Radar Vehicle Target Detection CFAR
作者简介 张军(1975-),湖南长沙,女,硕士,国防科技大学信息系统与管理学院副教授,主要研究方向为多媒体信息系统、图像编码、SAR图像处理等。
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